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Journals ACM SIGCOMM Computer Communication Review Volume 39 Issue 4

The throughput of existing MIMO LANs is limited by the number of antennas on the AP. This paper shows how to overcome this limit. It presents interference alignment and cancellation (IAC), a new approach for decoding concurrent sender-receiver pairs in MIMO networks. IAC synthesizes two signal processing techniques, interference alignment and interference cancellation, showing that the combination applies to scenarios where neither interference alignment nor cancellation applies alone. We show analytically that IAC almost doubles the throughput of MIMO LANs. We also implement IAC in GNU-Radio, and experimentally demonstrate that for 2x2 MIMO LANs, IAC increases the average throughput by 1.5x on the downlink and 2x on the uplink.

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Interference alignment and cancellation

Gollakota, Shyamnath; Perli, Samuel David; Katabi, Dina
ACM SIGCOMM Computer Communication Review , Volume 39 (4)
Association for Computing Machinery – Aug 16, 2009

More Info
  • Publisher Association for Computing Machinery
  • Copyright The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
  • Subject Data communications
  • ISSN 0146-4833
  • D.O.I. 10.1145/1594977.1592588
  • Publisher site Get PDF  

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